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Hasse Diagram Technique Can Further Improve the Interpretation of Results in Multielemental Large-Scale Biomonitoring Studies of Atmospheric Metal Pollution

In: Multi-indicator Systems and Modelling in Partial Order

Author

Listed:
  • Stergios Pirintsos

    (University of Crete, Department of Biology)

  • Michael Bariotakis

    (University of Crete, Department of Biology)

  • Vaios Kalogrias

    (University of Crete, Department of Biology)

  • Stella Katsogianni

    (University of Crete, Department of Biology)

  • Rainer Brüggemann

    (Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Department of Ecohydrology)

Abstract

Lichens and mosses have extensively been used in multielemental large-scale biomonitoring studies of atmospheric metal pollution. Despite its high importance in the assessment of cumulative risk and the communication with risk managers, the presentation and interpretation of biomonitoring results have only been partially the center of interest for a standardized methodology and for the harmonization of the techniques. Here we attempt to expand and improve the up-to-date formal presentation of biomonitoring results, combining the Hasse diagram technique with GIS techniques. The implementation using real data has demonstrated that such an expansion and improvement, in the direction of cumulative risk assessment and management, is feasible and it is suggested for incorporation in biomonitoring studies.

Suggested Citation

  • Stergios Pirintsos & Michael Bariotakis & Vaios Kalogrias & Stella Katsogianni & Rainer Brüggemann, 2014. "Hasse Diagram Technique Can Further Improve the Interpretation of Results in Multielemental Large-Scale Biomonitoring Studies of Atmospheric Metal Pollution," Springer Books, in: Rainer Brüggemann & Lars Carlsen & Jochen Wittmann (ed.), Multi-indicator Systems and Modelling in Partial Order, edition 127, chapter 0, pages 237-251, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-8223-9_11
    DOI: 10.1007/978-1-4614-8223-9_11
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